Abstract not found

Abstract—Fixed-point multiplication architectures are designed and evaluated using a set of logic cells based on a radix-4, quaternary number system. The library of logic circuits is based on Field Effect Transistors (FETs) that have different voltage threshold levels. The resulting logic cell library is sufficient to implement all possible quaternary switching functions. The logic circuits operate in voltage mode where different ranges of voltages encode the logic levels. Voltage mode circuitry is used to minimize overall power dissipation characteristics. Analysis of the resulting multiplication circuits indicates that power dissipation characteristics are advantageous when compared to equivalent word-sized binary voltage mode configurations with no decrease in performance. Keywords-quaternary logic, arithmetic logic circuits I.

This thesis is a part of my work for my Ph.D. in Nanoelectronic at the Microelectronics

Abstract—Reversible logic is becoming more and more prominent as the technology sets higher demands on heat, power, scaling and stability. Reversible gates are able at any time to ”undo ” the current step or function. Multiple-valued logic has the advantage of transporting and evaluating higher bits each clock cycle than binary. Moreover, we demonstrate in this paper, combining these disciplines we can construct powerful multiple-valued reversible logic structures. In this paper a reversible block implemented by pseudo floatinggate can perform AD-function and a DA-function as its reverse application. Keywords—Reversible logic, bi-directional, Pseudo floating-gate (PFG), multiple-valued logic (MVL).

Wireless sensor networks (WSNs) are usually utilized to perform decision fusion of event detection. Current decision fusion schemes are based on binary valued decision and do not consider bursty contextcapture. However, bursty context and multi-valued data are important characteristics of WSNs. One on hand, the local decisions from sensors usually have bursty and contextual characteristics. Fusion center must capture the bursty context information from the sensors. On the other hand, in practice, many applications need to process multi-valued data, such as temperature and reflection level used for lightening prediction. To address these challenges, the Markov modulated Poisson process (MMPP) and multi-valued logic are introduced into WSNs to perform context-capture multi-valued decision fusion. The overall decision fusion is decomposed into two parts. The first part is the context-capture model for WSNs using superposition MMPP. Through this procedure, the fusion center has a higher probability to get useful local decisions from sensors. The second one is focused on multi-valued decision fusion. Fault detection can also be performed based on MVL. Once the fusion center detects the faulty nodes, all their local decisions are removed from the computation of the likelihood ratios. Finally, we evaluate the capability of context-capture and fault tolerant. The result supports the usefulness of our scheme.